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Web intelligence analyses of digital libraries: A case study of the National electronic Library for Health (NeLH)

机译:数字图书馆的网络情报分析:以美国国家卫生电子图书馆(NeLH)为例

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Purpose - The purpose of this paper is to explore the use of LexiURL as a Web intelligence tool for collecting and analysing links to digital libraries, focusing specifically on the National electronic Library for Health (NeLH).rnDesign/methodology/approach - The Web intelligence techniques in this study are a combination of link analysis (web structure mining), web server log file analysis (web usage mining), and text analysis (web content mining), utilizing the power of commercial search engines and drawing upon the information science fields of bibliometrics and webometrics. LexiURL is a computer program designed to calculate summary statistics for lists of links or URLs. Its output is a series of standard reports, for example listing and counting all of the different domain names in the data. Findings - Link data, when analysed together with user transaction log files (i.e. Web referring domains) can provide insights into who is using a digital library and when, and who could be using the digital library if they are "surfing" a particular part of the Web; in this case any site that is linked to or colinked with the NeLH. This study found that the NeLH was embedded in a multifaceted Web context, including many governmental, educational, commercial and organisational sites, with the most interesting being sites from the.edu domain, representing American Universities. Not many links directed to the NeLH were followed on September 25, 2005 (the date of the log file analysis and link extraction analysis), which means that users who access the digital library have been arriving at the site via only a few select links, bookmarks and search engine searches, or non-electronic sources. Originality/value - A number of studies concerning digital library users have been carried out using log file analysis as a research tool. Log files focus on real-time user transactions; while LexiURL can be used to extract links and colinks associated with a digital library's growing Web network. This Web network is not recognized often enough, and can be a useful indication of where potential users are surfing, even if they have not yet specifically visited the NeLH site.
机译:目的-本文的目的是探索LexiURL作为Web智能工具的用途,该工具用于收集和分析与数字图书馆的链接,特别侧重于国家健康电子图书馆(NeLH)。rnDesign/ methodology / approach-Web智能本研究中的技术结合了链接分析(Web结构挖掘),Web服务器日志文件分析(Web使用率挖掘)和文本分析(Web内容挖掘),并利用了商业搜索引擎的强大功能并利用了信息科学领域计量学和网络计量学。 LexiURL是一种计算机程序,旨在计算链接或URL列表的摘要统计信息。它的输出是一系列标准报告,例如列出和计数数据中所有不同的域名。调查结果-与用户事务日志文件(即Web引用域)一起分析链接数据时,可以洞悉谁正在使用数字图书馆以及何时使用数字图书馆,以及如果他们正在“浏览”图书馆的特定部分,谁可以使用数字图书馆。网络;在这种情况下,与NeLH链接或共同链接的任何站点。这项研究发现,NeLH嵌入了多方面的Web上下文中,包括许多政府,教育,商业和组织站点,其中最有趣的是来自.edu领域的站点,代表美国大学。在2005年9月25日(日志文件分析和链接提取分析的日期),指向NeLH的链接没有很多,这意味着访问数字图书馆的用户仅通过少数几个选择的链接即可到达该站点,书签和搜索引擎搜索或非电子资源。原创性/价值-使用日志文件分析作为研究工具,已经进行了许多有关数字图书馆用户的研究。日志文件专注于实时用户事务; LexiURL可用于提取与数字图书馆日益增长的Web网络相关的链接和共链接。这个Web网络的识别频率不够高,即使潜在的用户尚未专门访问NeLH网站,它也可以作为潜在用户在哪里冲浪的有用指示。

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